| dc.contributor.advisor | Luo, Bo | |
| dc.contributor.author | Gopal, Jamuna | |
| dc.date.accessioned | 2015-02-25T05:18:25Z | |
| dc.date.available | 2015-02-25T05:18:25Z | |
| dc.date.issued | 2014-08-31 | |
| dc.date.submitted | 2014 | |
| dc.identifier.other | http://dissertations.umi.com/ku:13611 | |
| dc.identifier.uri | http://hdl.handle.net/1808/16832 | |
| dc.description.abstract | The aim of this project is to identify the family related information of a person from their Twitter Data. We use their personal details, tweets and their friends' details in order to achieve this. Since, we deal with the modern world short text data; we have used a hybrid information retrieval methodology taking into account the Parts of Speech of the data, Phrase Similarity and the Semantic Similarity of the data along with the openly available twitter data. The future use of this research is to develop a Client Side protection tool that will help users validate the data to be posted for privacy breech. | |
| dc.format.extent | 61 pages | |
| dc.language.iso | en | |
| dc.publisher | University of Kansas | |
| dc.rights | This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author. | |
| dc.subject | Computer science | |
| dc.subject | at - user identification | |
| dc.subject | Data mining | |
| dc.subject | Family Prediction | |
| dc.subject | Microblogs data | |
| dc.subject | Pattern Match | |
| dc.subject | Semantic Similarity | |
| dc.title | I Know Your Family: A Hybrid Information Retrieval Approach to Extract Family Information from Microblogs | |
| dc.type | Thesis | |
| dc.contributor.cmtemember | Grzymala-Busse, Jerzy | |
| dc.contributor.cmtemember | Kulkarni, Prasad | |
| dc.thesis.degreeDiscipline | Electrical Engineering & Computer Science | |
| dc.thesis.degreeLevel | M.S. | |
| dc.rights.accessrights | openAccess | |
